Past Event: Yale Center for Geospatial Solutions Lidar Data Analyst

Term: Part-time, 5 to 20 hours/week, Immediately - May 18, 2026 

Supervisor: Austin Madson, YCGS Senior Remote Sensing Scientist 

Wage: $22.00 per hour 

Posting time: Immediately

Number of Positions Hiring: 1 

Job Description 

The Lidar Data Analyst at the Yale Center for Geospatial Solutions will help to process large amounts of airborne/UAVborne lidar data over Connecticut. Further, the Analyst will help to compile a campuswide database of lidar data across Yale and its properties. In particular, this person will work directly with their supervisor to derive large-scale processing workflows on multi-temporal lidar datasets. They will also be provided with training in advanced point cloud processing pipelines (e.g., segmentation, deep learning) and will employ those pipelines on lidar derived point clouds. Experience with processing (e.g., pdal, Open3D, lidR, etc.) and/or rendering (e.g., potree, unreal, unity, etc.) large 3D datasets is required. The Analyst will be listed as a coauthor on a peer-reviewed publication stemming from this work. 

Job Requirements 

• General understanding of lidar principles and applications 
• Experience with pdal, Open3D, lidR, potree, unreal, and/or unity 
• Proficient in python and/or R 
• Experience in 3D data science 
• Ability to think critically about extracting novel information from data 
• Excellent interpersonal and written communication 
• Ability to work independently after given a task/s 

Key Responsibilities 

• Programmatically access and process large airborne lidar datasets 
• Compile existing point cloud data from different sources/providers 
• Generate slide decks highlighting workflows and outputs 
• Update supervisor on progress and outputs 

Personal attributes 

• Curious and willing to learn new tools or processes as needed 
• Reliable and proactive, with a strong sense of ownership 
• Organized and detail-oriented 

• Confident making decisions independently 
• Collaborative and responsive when working with a team 

Work Environment: In person / Hybrid 

When meeting with the supervisor in person, the candidate may be asked to come to either The Earth Observation Lab at 21 Sachem Street (Room 119) or to 37 Hillhouse Avenue (Room 112), depending on the meeting location scheduled. There are no specific days in person or remote, as these may change depending on the student’s schedule and availability. 

The Job ID is 37239 and the Job Title is "Remote Sensing / Lidar Data Analyst".  It is combined with another "Lidar Data Analyst" position.